Neural Augmentation For Device Nonlinearity Mitigation In X-Node Machine Learning

    公开(公告)号:US20220070041A1

    公开(公告)日:2022-03-03

    申请号:US17394928

    申请日:2021-08-05

    Abstract: Various embodiments include methods for reducing peak to average power ratio of wireless transmission waveforms, performed in transmitter circuitry of a wireless communication. Various embodiments may include receiving frequency domain data tones, transforming the frequency domain data tones to time domain data signals, generating, using a set of peak reduction tone (PRT) neural networks, time domain PRTs using the time domain data signals in which the set of PRT neural networks have been trained in conjunction with an augmentation neural network, and a receiver neural network, generating an output of the augmentation neural network based on an input of final combined time domain signals including the time domain PRTs combined with previous combined time domain signals, and generating time domain wireless transmission waveforms that include the output of the augmentation neural network combined with the final combined time domain signals.

    SPS AND ULCG ENHANCEMENTS
    118.
    发明申请

    公开(公告)号:US20220061048A1

    公开(公告)日:2022-02-24

    申请号:US17405973

    申请日:2021-08-18

    Abstract: A configuration for a UE to utilize grant periodicity values that are not multiples or fractions of a slot. The apparatus receives, from a base station, a configuration for a periodicity for a configured grant, the configured grant being for communicating with the base station based on the corresponding periodicity. The apparatus communicates with the base station based on the configured periodicity in association with the configured grant, the communicating being one of receiving the plurality of PDSCHs associated with the configured grant based on the corresponding configured periodicity or transmitting the plurality of PUSCHs associated with the configured grant based on the corresponding configured periodicity.

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